The classes of ILSVRC detection dataset maintain a defined hierarchy [1]}. However, this hierarchy does not follow a tree structure. In this paper, we choose a total of \(\mathrm {M} = 14\)  meta-classes (including person), in which the 200 object classes are divided. Table REF  describes meta-class assignment of all 200 classes. This assignment mostly follows the hierarchy of question prescribed in the original paper [1]}. Few notable exceptions are (1) the classes of first-aid/medical items, cosmetics, carpentry items, school supplies and bag are grouped as indoor accessory, (2) liquid container related classes are merged with kitchen items, (3) flower pot is considered as furniture similar to MicroSoft COCO super-categories [3]}, (4) All living organisms (other than people) related classes are grouped into three different meta-class categories based on their similarity in word vector embedding space: invertebrate, mammal and non-mammal animal. Although one can argue that all invertebrate are non-mammal, this is just an assignment definition we apply in this paper to obtain a uniform distribution of images across super-classes.
<TABLE>